|
--- |
|
license: apache-2.0 |
|
base_model: rinna/japanese-hubert-base |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: hubert-rinnna-jp-jdrtsp-fw07sp-12 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# hubert-rinnna-jp-jdrtsp-fw07sp-12 |
|
|
|
This model is a fine-tuned version of [rinna/japanese-hubert-base](https://huggingface.co/rinna/japanese-hubert-base) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.1989 |
|
- Wer: 0.6801 |
|
- Cer: 0.5794 |
|
|
|
## Model description |
|
|
|
More information needed |
|
|
|
## Intended uses & limitations |
|
|
|
More information needed |
|
|
|
## Training and evaluation data |
|
|
|
More information needed |
|
|
|
## Training procedure |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 1e-05 |
|
- train_batch_size: 32 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 64 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 1000 |
|
- num_epochs: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
|
| 5.0318 | 1.0 | 404 | 4.2999 | 0.9798 | 0.9889 | |
|
| 3.5113 | 2.0 | 808 | 3.3289 | 0.9798 | 0.9889 | |
|
| 2.7536 | 3.0 | 1212 | 2.7007 | 0.9798 | 0.9889 | |
|
| 2.4826 | 4.0 | 1616 | 2.3732 | 0.9798 | 0.9889 | |
|
| 2.0642 | 5.0 | 2020 | 1.9165 | 0.9798 | 0.9888 | |
|
| 1.834 | 6.0 | 2424 | 1.6739 | 0.9504 | 0.9464 | |
|
| 1.6869 | 7.0 | 2828 | 1.4651 | 0.8239 | 0.7865 | |
|
| 1.5734 | 8.0 | 3232 | 1.3267 | 0.7440 | 0.6939 | |
|
| 1.5052 | 9.0 | 3636 | 1.2331 | 0.7045 | 0.6231 | |
|
| 1.4573 | 10.0 | 4040 | 1.1989 | 0.6801 | 0.5794 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.0.dev0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.13.3 |
|
|
